Abstract
The data obtained from the robotic instrumentation can be redundant due to the multiplicity of sensors. Additionally, the study of the sensor’s data can help in optimization the design of the manipulators. In this line of thought, this paper applies two distinct methods for classification of sensors used in robotics. One of the adopted methods leads to arrange the robotic signals in terms of identical spectrum behavior. The other method is the multidimensional scaling technique applied to the correlation of the signals in the time domain. Both methods conduct to similar results, obtaining three groups of signals: the group of “positions”, the group of “currents” and the group of “forces, torques and accelerations”.
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References
White, R.M.: A sensor classification scheme. IEEE Trans. on Ultrasonics, Ferroelectrics and Frequency Control 34(2), 124–126 (1987)
Michahelles, F., Schiele, B.: Sensing opportunities for physical interaction. In: Workshop on Physical Interaction of Mobile HCI Conference, Udine, Italy (September 2003)
Esteban, J., Starr, A., Willetts, R., Hannah, P., Bryanston-Cross, P.: A review of data fusion models and architectures: towards engineering guidelines. Neural Computing & Applications 14(4), 273–281 (2005)
Luo, R., Kay, M.: A tutorial on multisensor integration and fusion. In: IEEE 16th Annual Conf. of Industrial Electronics Society, pp. 707–722 (1990)
Hackett, J., Shah, M.: Multi-sensor fusion: a perspective. In: Proc. IEEE Int. Conf. on Robotics & Automation, pp. 1324–1330 (1990)
Henderson, T., Shilcrat, E.E.: Logical sensor systems. J. of Robotic Systems 1(2), 169–193 (1984)
Arampatzis, T., Manesis, S.: A Survey of Applications of Wireless Sensors and Wireless Sensor Networks. In: Proc. IEEE Int. Symp. on Intelligent Control, pp. 719–724 (2005)
Cheekiralla, S., Engels, W.: A functional taxonomy of wireless sensor network devices. In: 2nd International Conference on Broadband Networks IEEE, vol. 2, pp. 949–956 (2005), doi:10.1109/ICBN.2005.1589707
Lima, M., Machado, J., Crisóstomo, M.: Experimental Signal Analysis of Robot Impacts in a Fractional Calculus Perspective. Journal of Advanced Computational Intelligence and Intelligent Informatics 11(9), 1079–1085 (2007)
Robotec, E.: Scorbot ER VII, User’s Manual, Eshed Robotec (1996) ISBN 9652910333
Glunt, W., Hayden, T.L., Raydan, M.: Molecular conformation from distance matrices. J. Computational Chemistry 14, 114–120 (1993)
Tenenbaum, J., de Silva, V., Langford, J.: A global geometric framework for nonlinear dimensionality reduction. Science 290(5500), 2319–2323 (2000)
Martinez–Torres, M., BarreroGarcia, F., ToralMarin, S., Gallardo, S.: A Digital Signal Processing Teaching Methodology Using Concept-Mapping Techniques. IEEE Transactions on Education 48(3), 422–429 (2005), doi:10.1109/TE.2005.849737
Mao, G., Fidan, B.: Localization Algorithms and Strategies for Wireless Sensor Networks. Igi-Global (2009) (ebook) ISBN 978-1-60566-397-5
Cox, T., Cox, M.: Multidimensional scaling, 2nd edn. Chapman & Hall/CRC (2001) ISBN 1584880945
Sammon, J.: A nonlinear mapping for data structure analysis. IEEE Trans. Computers C-18(5), 401–409 (1969)
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Lima, M.F.M., Machado, J.A.T. (2012). Sensor Classification Methods Applied to Robotics. In: Su, CY., Rakheja, S., Liu, H. (eds) Intelligent Robotics and Applications. ICIRA 2012. Lecture Notes in Computer Science(), vol 7508. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-33503-7_3
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DOI: https://doi.org/10.1007/978-3-642-33503-7_3
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